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Data X:
36.33 3.00 37.93 4.33 41.87 6.33 47.20 43.67 51.53 44.00 52.33 47.00 53.87 47.00 55.00 47.00 55.07 48.33 55.47 49.00 55.93 49.33 56.20 49.67 56.67 51.00 57.13 51.00 57.47 51.00 57.47 51.00 57.67 52.67 57.87 53.33 58.07 53.67 58.20 53.67 58.27 54.00 58.27 54.00 58.33 54.33 58.40 54.33 58.80 54.67 58.80 54.67 58.93 54.67 59.00 55.00 59.13 55.00 59.40 55.33 59.47 55.33 59.53 55.33 59.53 55.67 59.60 55.67 59.67 56.00 59.67 56.00 59.73 56.00 59.73 56.33 59.73 56.33 59.80 56.67 59.80 56.67 60.13 56.67 60.13 56.67 60.13 57.00 60.33 57.33 60.47 57.33 60.73 57.67 60.80 57.67 60.87 58.00 61.00 58.00 61.27 58.00 61.27 58.00 61.33 58.00 61.40 58.00 61.47 58.00 61.47 58.00 61.60 58.33 61.60 58.33 61.67 58.67 61.80 58.67 61.93 58.67 62.13 58.67 62.20 58.67 62.40 58.67 62.40 58.67 62.40 59.00 62.53 59.00 62.60 59.33 62.60 59.33 62.60 59.33 62.67 59.33 62.80 59.33 62.80 59.67 62.80 59.67 62.87 59.67 62.87 59.67 62.93 59.67 63.00 59.67 63.00 60.00 63.13 60.00 63.33 60.00 63.33 60.00 63.47 60.00 63.53 60.00 63.53 60.00 63.53 60.00 63.60 60.00 63.67 60.33 63.67 60.33 63.73 60.33 63.73 60.33 63.73 60.33 63.87 60.33 64.00 60.67 64.07 60.67 64.07 60.67 64.13 60.67 64.20 60.67 64.20 61.00 64.27 61.00 64.60 61.00 64.60 61.00 64.67 61.00 64.67 61.00 64.67 61.33 64.67 61.33 64.67 61.33 64.67 61.33 64.73 61.33 64.80 61.33 64.87 61.33 65.00 61.67 65.07 61.67 65.07 61.67 65.20 61.67 65.47 61.67 65.47 61.67 65.60 61.67 65.67 61.67 65.67 62.00 65.80 62.00 65.80 62.00 65.80 62.00 65.93 62.00 66.00 62.00 66.00 62.33 66.00 62.33 66.00 62.33 66.00 62.33 66.00 62.67 66.00 63.00 66.07 63.00 66.27 63.00 66.27 63.33 66.47 63.33 66.53 63.33 66.53 63.33 66.53 63.33 66.60 63.67 66.73 63.67 66.73 63.67 66.73 63.67 66.73 63.67 66.80 63.67 66.87 63.67 66.93 63.67 67.07 63.67 67.13 64.00 67.33 64.00 67.47 64.00 67.47 64.00 67.53 64.00 67.60 64.00 67.60 64.00 67.80 64.00 68.07 64.33 68.60 64.33 68.67 64.67 68.67 64.67 68.73 64.67 68.80 64.67 68.80 65.00 68.87 65.00 69.53 65.00 69.60 65.33 69.60 65.33 69.87 65.67 69.93 65.67 70.07 65.67 70.07 65.67 70.47 65.67 70.67 66.00 70.67 66.00 70.73 66.00 70.73 66.00 70.73 66.33 70.73 66.33 70.80 66.67 70.80 66.67 71.07 66.67 71.47 66.67 71.53 67.33 71.67 67.67 71.67 68.00 72.07 68.67 72.73 69.00 72.73 70.00 72.87 70.33 73.00 71.33
Names of X columns:
pment nopment
box colour
Notched Boxes
TRUE
TRUE
FALSE
% to trim
Chart options
Title:
Label y-axis:
Label x-axis:
R Code
par1 <- as.numeric(par1) #colour par2<- as.logical(par2) # Notches ? par3<-as.numeric(par3) # % trim if(par3>45){par3<-45;warning('trim limited to 45%')} if(par3<0){par3<-0;warning('negative trim makes no sense. Trim is zero.')} lotrm<-as.integer(length(y[1,])*par3/100)+1 hitrm<-as.integer(length(y[1,])*(100-par3)/100) y1<-array(dim=c(dim(y)[1], hitrm-lotrm+1), dimnames=list(dimnames(y)[[1]], 1:(hitrm-lotrm+1) )) for(i in 1:dim(y)[1]){ tmp<-order(y[i,]) y1[i,]<- y[i, tmp[lotrm:hitrm] ] } bitmap(file='test2.png') pairs(t(y)) dev.off() y<-y1 z <- as.data.frame(t(y)) bitmap(file='test1.png') (r<-boxplot(z ,xlab=xlab,ylab=ylab,main=main,notch=par2,col=par1)) dev.off() load(file='createtable') a<-table.start() a<-table.row.start(a) a<-table.element(a,hyperlink('http://www.xycoon.com/overview.htm','Boxplot statistics','Boxplot overview'),6,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_whisker.htm','lower whisker','definition of lower whisker'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/lower_hinge.htm','lower hinge','definition of lower hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/central_tendency.htm','median','definitions about measures of central tendency'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_hinge.htm','upper hinge','definition of upper hinge'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/upper_whisker.htm','upper whisker','definition of upper whisker'),1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) for (j in 1:5) { a<-table.element(a,round(r$stats[j,i], digits=2)) } a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable.tab') if (par2){ a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Notches',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,'lower bound',1,TRUE) a<-table.element(a,'median',1,TRUE) a<-table.element(a,'upper bound',1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,round(r$conf[1,i], digits=2)) a<-table.element(a, round(r$stats[3,i], digits=2)) a<-table.element(a,round(r$conf[2,i], digits=2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable1.tab') } a<-table.start() a<-table.row.start(a) a<-table.element(a,'Boxplot Means',4,TRUE) a<-table.row.end(a) a<-table.row.start(a) a<-table.element(a,'Variable',1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/trimmed_mean.htm','trimmed mean','definition of trimmed mean'),1,TRUE) a<-table.element(a,hyperlink('http://www.xycoon.com/unbiased1.htm','unbiased SD','definition of unbiased SD'),1,TRUE) a<-table.row.end(a) for (i in 1:length(y[,1])) { a<-table.row.start(a) a<-table.element(a,dimnames(t(x))[[2]][i],1,TRUE) a<-table.element(a,round(mean(unlist(z[i]), trim=par3/100, na.rm=TRUE), digits=2)) a<-table.element(a,round(sd(unlist(z[i]), na.rm=TRUE), digits=2)) a<-table.row.end(a) } a<-table.end(a) table.save(a,file='mytable2.tab')
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Big Analytics Cloud Computing Center
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